smdc_perftests package

Subpackages

• smdc_perftests.datasets package
  • Submodules
  • smdc_perftests.datasets.EQUI_7 module
  • smdc_perftests.datasets.ascat module
  • smdc_perftests.datasets.esa_cci module
  • Module contents
• smdc_perftests.performance_tests package
  • Submodules
  • smdc_perftests.performance_tests.analyze module
  • smdc_perftests.performance_tests.test_cases module
  • smdc_perftests.performance_tests.test_scripts module
  • Module contents

Submodules

smdc_perftests.helper module

Helper functions Created on Wed Apr 1 14:50:18 2015

@author: christoph.paulik@geo.tuwien.ac.at

smdc_perftests.helper.generate_date_list(minimum, maximum, n=500, max_spread=30, min_spread=None)

Parameters:

minimum: datetime

minimum datetime

maximum: datetime

maximum datetime

n: int

number of dates to generate

max_spread: int, optional

maximum spread between dates

min_spread: int, optional

minimum spread between dates

Returns:

date_list: list

list of start, end lists The format is a list of lists e.g. [[datetime(2007,1,1), datetime(2007,1,1)],

[datetime(2007,1,1), datetime(2007,12,31)]]

smdc_perftests.visual module

Module for visualizing the test results Created on Tue Nov 25 13:44:56 2014

@author: Christoph.Paulik@geo.tuwien.ac.at

smdc_perftests.visual.plot_boxplots(*args, **kwargs)

plots means and confidence intervals of given TestResults objects

Parameters:

*args: TestResults instances

any Number of TestResults instances that should be plotted side by side

conf_level: int, optional

confidence level to use for the computed confidence intervals

**kwargs: varied

all other keyword arguments will be passed on to the plt.subplots function

Returns:

fig: matplotlib.Figure

ax1: matplotlib.axes

Module contents